Instructions to use Ad-adv/nuextract-tiny-cv-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ad-adv/nuextract-tiny-cv-extraction with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ad-adv/nuextract-tiny-cv-extraction", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 619e05ca6950f60fa33a9a17f772f4a113a19372df0b64349dc84174eb4b4ac2
- Size of remote file:
- 5.78 kB
- SHA256:
- 19bca539b38ba55ff35e7a298592280fdcd51ec2aab2189e1a1fc31263fe58c8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.